Website: https://sites.google.com/view/icfc2020/

Submissions: https://easychair.org/conferences/?conf=icfc2020

Important Dates

• Submission registration and abstract: November 15, 2019 AoE

• Full paper submission: November 22, 2019 AoE

• Acceptance notification: January 15, 2020

• Camera ready: February 7, 2020

• Conference: April 21-24, 2020

Context & Scope

Fog computing is the extension of cloud computing into its edge and the physical world to meet the data volume and decision velocity requirements in many emerging applications, such as augmented and virtual realities (AR/VR), cyber-physical systems (CPS), intelligent and autonomous systems, and mission-critical systems. The boundary between powerful centralized cloud and massively distributed, Internet connected sensors, actuators, and “things” is blurred in this new computing paradigm.

The 2020 IEEE International Conference on Fog Computing (ICFC 2020), colocated with the CPS-IoT Week 2020 in Sydney, April 21-24, 2020, brings together researchers and practitioners across academia, industry, and governments to exchange visions, technical challenges, and research outcomes in a single forum. ICFC takes a broad view of Fog Computing, including computation, connectivity, mobility, sensing and actuation, theories, and systems. 

Special Issue

Authors of accepted papers can submit an extended version of their papers to a Special Issue on "Cloud and Fog Computing" of the journal Springer-Nature Computer Science.

Workshops

To be announced.

Topics of Interest

ICFC conference topics of interest include, but are not limited to:

• System architecture for fog computing

• Coordination between cloud, fog, and sensing/actuation endpoints

• Connectivity, storage, and computation in the edge

• Data processing and management for fog computing

• Efficient and embedded AI in the fog

• System and network manageability

• Middleware and coordination platforms

• Power, energy, and resource management

• Device and hardware support for fog computing

• Programming models, abstractions, and software engineering for fog computing

• Security, privacy, and ethics issues related to fog computing

• Theoretical foundations and formal methods for fog computing systems

• Applications and practical experiences